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https://issues.apache.org/jira/browse/HDFS-17223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17801116#comment-17801116
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ASF GitHub Bot commented on HDFS-17223:
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gp1314 commented on PR #6183:
URL: https://github.com/apache/hadoop/pull/6183#issuecomment-1871841096
Unfortunately, I didn't reproduce the problem. In the past, stopping a JN
and restarting NN took a long time to initialize. I will pay more attention to
the root cause of the problem.
> Add journalnode maintenance node list
> -------------------------------------
>
> Key: HDFS-17223
> URL: https://issues.apache.org/jira/browse/HDFS-17223
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: qjm
> Affects Versions: 3.3.6
> Reporter: kuper
> Priority: Major
> Labels: pull-request-available
>
> * In the case of configuring 3 journal nodes in HDFS, if only 2 journal nodes
> are available and 1 journal node fails to start due to machine issues, it
> will result in a long initialization time for the namenode (around 30-40
> minutes, depending on the IPC timeout and retry policy configuration).
> * The failed journal node cannot recover immediately, but HDFS can still
> function in this situation. In our production environment, we encountered
> this issue and had to reduce the IPC timeout and adjust the retry policy to
> accelerate the namenode initialization and provide services.
> * I'm wondering if it would be possible to have a journal node maintenance
> list to speed up the namenode initialization knowing that one journal node
> cannot provide services in advance?
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